Sustainable Learning in Cultural Algorithms Using Common Value Auctions

被引:0
|
作者
Al-Tirawi, Anas [1 ]
Reynolds, Robert G. [1 ]
机构
[1] Wayne State Univ, Dept Comp Sci, Detroit, MI 48202 USA
基金
美国国家科学基金会;
关键词
cultural algorithms; evolulionaiy algorithms; social networks; sustainable learning; dynamic environments;
D O I
10.1109/CSCI49370.2019.00053
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In Cultural Systems there are many ways to collect and distribute problem solving knowledge within social networks. Such mechanisms include games, auctions, and various voting mechanisms. Here, a new distribution mechanism, Common Value Auctions, is presented. In this paper Common Value Auctions are used to distribute problem solving knowledge within a social network The experimental results suggest that the Common Value Auction distribution mechanism is sufficient to produce sustainable learning in a dynamically changing problem landscape using only information about an individuals' past influence by a knowledge agent. Here, the sustainability is expressed in terms of both the Cultural Systems' robustness and resilience to linear changes in the problem solving environment. Future work will investigate whether additional variables are required to produce sustainability in non-linear and chaotic environments.
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页码:259 / 265
页数:7
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